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Machine Learning Principal Engineer

Ninety

United States

Remote

USD 100,000 - 720,000

Full time

Yesterday
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Job summary

A leading company is seeking a Principal Engineer for Machine Learning to lead product development and shape the architecture of their machine learning discipline. The role involves driving critical projects, mentoring teams, and implementing end-to-end ML pipelines. Ideal candidates will have extensive experience in generative AI and proven leadership skills.

Benefits

Work From Anywhere
Health and Dental insurance
Employer Paid Life insurance
Generous Paid Parental Leave
Professional development allowance

Qualifications

  • 8+ years of experience in machine learning, focusing on generative AI.
  • Proven leadership skills with the ability to influence technical direction.

Responsibilities

  • Define and drive the technical strategy for machine learning.
  • Lead design and development of generative AI models.
  • Mentor engineering teams to foster a culture of excellence.

Skills

Growth mindset
Problem-solving
Strategic thinking

Education

Master’s or PhD in Computer Science

Tools

TensorFlow
PyTorch
Kubernetes
Docker
CI/CD

Job description

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Principal Engineer - ML

www.ninety.io | Remote

At Ninety, we help people build extraordinarily productive, humane, and resilient organizations.

Ninety is an innovative learning, support, and technology SaaS platform that simplifies the hard work of creating focused, aligned, and thriving teams. Our integrated collection of time-tested business building and awareness tools, along with industry-leading educational materials, not only simplifies the hard work associated with building great organizations but also organizes, stores, and makes all the associated information easily accessible.

We believe work shouldn’t suck, and for 200,000 users and counting, it doesn’t.

As Ninety continues to experience exceptional growth, we are looking to bring on a Principal Engineer for Machine Learning who will lead the development of our products and who will report to an Engineering Lead.

As a Principal Engineer, you will be a strategic technical leader responsible for shaping the architecture and long-term vision of our machine learning discipline. You will drive critical projects, influence engineering culture, and ensure the delivery of robust and scalable software solutions on a daily basis.

To be successful in this role, you must have:

  • Growth mindset
  • Strong balance between perfection and pragmatism
  • Team based orientation

Your Key Responsibilities:

  • Define and drive the technical strategy and architecture for our machine learning discipline
  • Lead the design and development of state-of-the-art generative AI models
  • Collaborate with senior leadership to align technical initiatives with business goals
  • Mentor and coach engineering teams to foster a culture of excellence and continuous improvement
  • Implement and manage end-to-end machine learning pipelines, including data preprocessing, model training, validation, and deployment
  • Develop and maintain scalable infrastructure for model training and inference
  • Research and experiment with new algorithms and techniques to improve model performance and capabilities
  • Stay abreast of emerging technologies and industry trends to inform strategic decisions

What Success Looks Like:

  • Deliver market-aligned outcomes
  • Development of a line of AI driven features within the 90 product
  • Build testable, observable, and independently deployable code

Preferred Qualifications:

  • Master’s or PhD in Computer Science, Machine Learning, Artificial Intelligence, or a related field
  • 8+ years of experience in machine learning, with a focus on generative AI
  • Deep expertise in designing and building scalable, distributed systems
  • Proven leadership skills with the ability to influence and drive technical direction
  • Strong proficiency in multiple programming languages and cloud platforms
  • Exceptional problem-solving skills and strategic thinking
  • Proven track record of designing and deploying high-performing machine learning models
  • Expertise in MLOps, including experience with tools and frameworks such as TensorFlow, PyTorch, Kubernetes, Docker, and CI/CD pipelines
  • Strong programming skills in Python and familiarity with relevant libraries (e.g., NumPy, SciPy, Scikit-learn)

About Us as an Employer:

Ninety’s focus on helping organizations focus, align, and thrive isn't just for our clients. We also believe deeply in helping our employees flourish. At 90, we focus on attracting, developing, and retaining our kind of great people. How?

  • We believe in Work From Anywhere, giving our employees the freedom and flexibility to work from wherever they need to live their best life
  • As-needed vacation. Don’t worry about punching the clock or losing days
  • Health and Dental insurance with employer contribution toward premiums
  • Employer Paid Life insurance and Long Term Disability Coverage
  • HSA, FSA, and DCFSA accounts available
  • Productivity/Wellness allowance
  • Generous Paid Parental Leave
  • Professional development allowance
  • Technology allowance
  • Company gatherings with travel allowance
  • Why we love doing what we do: Small to midsize businesses are the foundation of almost every healthy community. They provide not just employment but opportunities for people to learn, grow and become leaders who take responsibility for the well-being of the community
  • Our values:

G …Get Smart Stuff Done

T …Teamwork

R …Resilient

I … Inquisitive

B …Best

E …Extra Mile

The “Seat” we have open

Once we are confident we have someone who is a great core-value fit and well suited for the seat they are in, we provide a high degree of autonomy so they can master their seat leveraging their Unique Abilities and then take on more and more responsibility.

If the above sounds appealing to you, we invite you to apply and see if you are well suited to help us help companies achieve real, healthy, and sustainable growth!

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Seniority level
  • Seniority level
    Mid-Senior level
Employment type
  • Employment type
    Full-time
Job function
  • Job function
    Engineering and Information Technology
  • Industries
    Internet Publishing

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